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J. Yang Scholarship Program      

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The J. Yang Scholarship Program at  UC San Diego funds undergraduate and graduate scholarships and research programs for the purpose of recruiting and retaining highly promising future scholars from Taiwan high schools and universities. The grant will also support student research programs for UC San Diego students studying in Taiwan; travel and residencies for UC San Diego faculty and researchers in Taiwan; and an annual bilateral symposium to discuss topics of mutual interest, including current research partnerships, results of research collaborations and opportunities for seeding future activities.

The J. Yang Family and Foundation provides $1.5 million over five years to fund these bilateral programs, including graduate and undergraduate scholarships, summer research internships, travel awards and the annual bilateral symposium.  UC San Diego is committed to a 100% match for cost sharing these awards.

UC San Diego is privileged to partner with the J. Yang Family and Foundation to implement this most meaningful program. We are extremely pleased that we have funded eight outstanding students from Taiwan in Bioinformatics and Systems Biology, Chemistry, Computer Science & Engineering, Electrical & Computer Engineering, Neurosciences, and Structural Engineering. It is our strong belief that their study and research will be significantly aided by the J. Yang Scholarship, thus facilitating the completion of their outstanding education at UC San Diego for the advancement of their respective fields and improvements of the wellbeing of humankind.

For more detailed information on J Yang Scholarship Programs click here: J. Yang Scholarship Awards Information.


UC San Diego Scholars



Chi Fang

Chi Fang is a Ph.D. student in the Department of Political Science at UC San Diego. He grew up in Taiwan and received his B.A. and M.A. in Diplomacy at National Chengchi University. After his obligatory military service at Matzu, he joined the Institute of Political Science, Academia Sinica, where he decided to pursue a doctoral degree. Chi developed his research interests in international relations and game theory through his internship with foreign services and studies at UC Berkeley. His research explores how interstate competition interacts with domestic politics. Specifically, he examines how domestic divisions undermine states’ bargaining power amid international competition. Currently, he is working on several projects regarding international politics. First, he used survey data to examine whether and how the US public will support armed intervention when China initiates militarized conflicts against the US allies in East Asia. Second, he designed game-theoretical models to evaluate the effects of China’s gray zone coercion and Russia’s hybrid warfare. Finally, he studies the pattern of defense cooperation agreements in the Indo-Pacific and the EU to examine states’ efforts to deter challengers and to maintain international order. In the long run, he expects to contribute to the development of international relations theory and East Asia foreign policy planning.

Hao-Wen (Herman) Dong

Hao-Wen (Herman) Dong is a PhD student in Computer Science and Engineering at UC San Diego working with Prof. Julian McAuley and Prof. Taylor Berg-Kirkpatrick. His research interests lie at the intersection of music and machine learning, with a recent focus on music generation, audio synthesis and representation learning for music. His graduate study focuses on advancing machine learning techniques for music and audio. During his first two years at UC San Diego, Herman worked on deep learning models for automatic instrumentation, and he also developed an open source Python library for music generation. Through his research, his goal is to lower the barrier of entry for music composition and democratize music creation. Previously, Herman did a research internship in the R&D Division at Yamaha Corporation, working on deep neural network based musical instrument synthesizers. Before that, he was a research assistant in the Music and AI Lab directed by Dr. Yi-Hsuan Yang at Academia Sinica, where he worked on AI-assisted music generation and fundamental machine learning. He received his bachelor’s degree in Electrical Engineering from National Taiwan University. More information can be found at his homepage (

Chih-Fan (Rich) Pai

Chih-Fan (Rich) Pai was born in Richmond, Canada and grew up in Taiwan. He received the B.S. degree in electrical and computer engineering from National Chiao Tung University, Hsinchu, Taiwan, in 2018, and the M.S. degree in signal processing and communication engineering from National Taiwan University (NTU), Taipei, Taiwan, in 2020, under the supervision of Professor See-May Phoong. In 2021, he will be working toward a Ph.D. degree in electrical and computer engineering at the University of California, San Diego (UCSD), CA, USA. He is broadly interested in problems with strong and elegant mathematical foundations, including, but not limited to: high-dimensional signal and information processing with applications in communications and machine learning. In 2020, he won first Place in Youth Thesis Award from Chinese Institute of Electrical Engineering, Taipei, Taiwan, and Best Master Thesis Award from Graduate Institute of Communication Engineering, NTU. He also received UCSD graduate student fellowship in 2021.


Hsin-Ting Li

Hsin-Ting Li is going to be a Ph.D. student in Ocean Biosciences program at the Scripps institution of Oceanography (SIO) at UCSD starting Fall 2021. She obtained a master’s degree in Applied Ecology at Kiel University and a bachelor degree in Life Sciences at National Chung Hsing University. She discovered her passion in biological oceanography while working as a research assistant in Dr. Tung-yuan Ho’s Lab at Academia Sinica. Her research interests lie in the interaction between micronutrients and phytoplankton and the variation in marine food webs that result from changes in phytoplankton ecophysiology. She intends to conduct studies, in the laboratory of Dr. Andrew E. Allen at SIO. on the molecular mechanisms utilized by phytoplankton acquire and assimilate trace metals and major nutrients.  More generally, the genetic mechanisms which regulate associations between diatom phytoplankton and nitrogen fixing microbes (diazotrophs) and related impacts on food webs that sustain fisheries are the focus of her future studies.


Wan-Ting (Anita) Hsu

Wan-Ting (Anita) Hsu is a Master's student in Business Analytics at UC San Diego. She received the B.A. degree in Economics from National Tsing Hua University and the M.A. degree in Industrial Relations and Managing Human Resources from Warwick Business School. Afterward, she joined HR Process Integration and Data Analytics team in TSMC. As an analyst, she engaged in headcount management, cost-benefit analysis, HRIS transition, and attrition prediction. Through her experiences, she has found a strong passion for using data as a tool to transform HR domain knowledge into meaningful strategies in workforce planning, talent acquisition, and employee development. Her career aspiration is to change the landscape of HR from operational partners to strategic partners who can utilize people analytics to optimize the impact of HR policies on the employees and the business.


Jo-Hsien Yu

Jo-Hsien Yu is a PhD student in the Division of Biological Sciences. She grew up in Taipei, Taiwan, and earned her B.S. from National Taiwan University. During college, she once studied abroad at University of North Carolina at Chapel Hill where she was first exposed to scientific research. In Sabrina Burmeister lab where the neuronal and hormonal mechanism of behaviors reveal the evolution of ethology, she investigated sex differences in the spatial learning of túngara frogs. The research project strengthened her curiosity in animal behavior and the underlying neurobiology. When returning to NTU, Jo-Hsien joined Shih-Kuo Chen lab which studies the impacts of light on various aspects of animal physiology, cognition, and behaviors. She worked on establishing the pathway in which retinal light inputs modulate social interaction and oxytocin release, and the experience cemented her interest and training in neural circuit studies. In grad school, she hopes to focus on behavioral neuroscience. She plans to use vertebrate models to explore the neural mechanisms underlying their natural behavior repertoires, which will not only expand basic science but also provide insights into how diseases and mental disorders develop when the circuits go awry.

Chin-Ta (Kiida) Lai

Chin-Ta (Kiida) Lai is currently a Ph.D. student in Structural Engineering under the supervision of Professor Joel Conte. He assists in the upgrade project of the world largest outdoor shake table (UC San Diego Large High Performance Outdoor Shake Table)— from 1 to 6 degrees of freedom. Equipped with the significant experience and knowledge that he developed while working at the National Center for Research on Earthquake Engineering (NCREE) in Taiwan, he is now responsible for several challenging tasks in the LHPOST upgrade project. This includes definition of the acceptance and characterizations tests of the upgraded LHPOST (LHPOST6), system identification to calibrate the physical parameters of the LHPOST6, advanced modeling of the LHPOST6 and its control system (including specimen-table interaction) for the purpose of pre-test simulation and for further improving its control system and tracking performance. Chin-Ta specializes in both structural and mechanical engineering. Therefore, he can conduct high-quality structural experiments while maximizing the capacity and performance of the test facility itself, which provides a comprehensive approach to each project. Aside from his high-quality and innovative research and studies, he is also enthusiastic about computer programming. Based on his software development work in MATLAB and Simulink, he has developed toolboxes using Python to share his research work and help others do analysis with robust and reliable software.

Ping-Chieh Huang

Ping-Chieh is a first-year PhD student in Management with a concentration in Innovation, Technology and Operations at Rady School of Management. She obtained her bachelor’s degree in Economics from Soochow University in Taiwan and received a master’s degree in Management and a master’s degree in Statistics from Arizona State University. During her master’s study, Ping-Chieh completed a thesis on linear mixed-model approximations and a
compilation of applied projects on marketing, organizational behavior, strategic management, supply chain management, and machine learning. Additionally, she is a member of academic excellency in Phi Tau Phi Scholastic Honor Society, Beta Gamma Sigma International Honor Society, and Alpha Iota Delta International Honor Society. Currently, observing the economic disruption and operational risks brought by COVID-19, Ping-Chieh is interested in modeling such impact and identifying potential latent variables that may provide insights for future operations research.

Po-Han (Patrick) Chen

Po-Han (Patrick) Chen received his B.S. degree in electrophysics from National Chiao Tung University, Taiwan in 2018 and the M.S. degree from Institute of Electronics, National Yang Ming Chiao Tung University in 2021. Since September 2021, he has been pursuing the Ph.D. degree at the Department of Electrical and Computer Engineering, University of California, San Diego. He would join iPower3Es lab led by Prof. Hanh-Phuc Le in September 2021, and his research interests include fully integrated power converters for energy-efficient circuits and power management integrated circuit for energy-harvesting.



Ting-Yu (Tim) Lu

Ting-Yu (Tim) Lu is currently a researcher in Department of Chemical Engineering at National Taiwan University in Prof. Jiashing Yu’s lab. He will be joining the Materials Science and Engineering Program at UC San Diego as a Ph.D. student in Prof. Shaochen Chen’s lab from Fall 2021. Ting-Yu got a master's degree in biomedical engineering from National Tsing Hua University, Taiwan under the supervision of Prof. Hsin-Cheng Chiu. His past research focus on biomaterials and drug delivery. He has published five journal articles as first author. His work has been accepted for presentation at international conferences such as European Materials Research Society (E-MRS). Besides, he received the best presentation award from Taiwan Institute of Chemical Engineers (TwIChE) in 2019 and 2020. He also has cumulative 2 years’ teaching assistant experience in undergraduate course. Currently, his research interests include 3D printing and stem cells for tissue engineering such as bioprinted tumor microenvironments model and spinal cord injury. He plans on combining his past research experience about nanomedicine and 3D printing hydrogel systems to accelerate tissue regeneration. The long-term goal of his work is to use 3D printing to overcome the technical limitations of large scale manufacturing processes and integrate engineering and medicine for biotechnology to solve the clinic solutions for human health.






Ya-Chien-Chang1Final3.jpgYa-Chien (Vanessa) Chang

Ya-Chien (Vanessa) Chang is currently a first year Ph.D. student in Computer Science and Engineering at UC San Diego.  Ya-Chien got a master's degree in applied mathematics from National Tsing Hua University.  She is interested in investigating learning-based methods with control-theoretic foundations in the context of various autonomous systems.  In her first year of the Ph.D. program, her work was published in the 33rd Conference of Neural Information Processing Systems (NeurIPS) in 2019. Building on the initial success with safe and reliable learning for control, Ya-Chien is currently exploring various directions for more challenging tasks in autonomy. As the lack of safety guarantee has become important open challenges in the development of reliable autonomous systems, her long-term goal is developing practical and reliable intelligent control methods that can enable the wide and safe applicability of autonomous systems in the foreseeable future. In addition to being dedicated to research, she is the president of UCSD Taiwanese Graduate Student Association for 2020-2021.


cheng2.jpgPin-Chung (Tony) Cheng

Pin-Chung (Tony) Cheng is a first-year Ph.D. student in the Division of Biological Sciences at UC San Diego. He grew up in Taichung, Taiwan and enjoys the beautiful nature and tasty local foods in his hometown. He received his M.D. degree from Kaohsiung Medical University and completed his internship in Chung-Ho Memorial Hospital. Feeling limited by the current medical technology and the need to better understand diseases, Pin-Chung went on to study neurodegenerative disease in Yun-Ru Chen Lab at Academia Sinica, Taiwan. There he developed his skills in biochemistry and molecular biology and applied them to investigate the role of misfolded protein in ALS and Alzheimer’s disease. Afterwards, Pin-Chung completed a M.S. degree in stem cell biology and regenerative medicine at University of Southern California, where he studied how metabolism can influence muscle stem cell aging in Joseph Rodger Lab. Currently at UC San Diego, Pin-Chung is developing an interest in bioinformatics and the rapidly advancing field of single-cell genomics. He plans on using a novel single-cell assay and computational analysis to identify genetic mutations and pathways that drive cancer growth. He believes by applying these single-cell technologies, we can build a massive library of disease database that will help us gain remarkable insight into disease mechanisms and lay the foundation for developing precision medicine that will improve patient outcome.

Hsuan-Lin.pngHsuan-lin (Charlene) Her

Hsuan-lin (Charlene) Her is a Ph.D student in Bioinformatics and Systems Biology. She grew up in Taipei and received M.D. from Taipei Medical University. During college, she joined Yu-Wei Wu's lab at Graduate Institute of Biomedical Informatics. There she explored how bioinformatics can potentially provide insight to severe clinical problems such as antibiotic resistance. She believes that the advance of genome sequencing technology will make revolutionary changes to medical practices. In grad school, she plans to explore the functions of RNA-binding protein and find novel disease mechanisms.



ho2-final.pngChing Hwa (Hank) Ho

Ching Hwa (Hank) Ho was raised in Hsinchu, Taiwan. He graduated from National Tsing-Hua University, and received Bachelor of Science degree in 2014. Later he entered National Taiwan University for Master of Science degree, and completed his thesis under Dr. Chun-hsien Chen’s supervision in 2016. After obligatory military service, he then served as a research assistant in Dr. Chia-Chun Chou’s research laboratory in National Tsing Hua University. He came to United States in 2019 for pursuing doctoral degree in chemistry, and joined Dr. Francesco Paesani’s group in 2020.  Ching-Hwa Ho’s research interests include charge transport phenomena in nano-scale materials, which was inspired by his previous research topics: molecular electronics and non-adiabatic molecular dynamics. Ching-Hwa Ho also has cumulative 8 years’ practical experience in chemistry teaching since 2010. He is passionate about conveying complex knowledge with easy languages, and arousing students’ interest by seemingly simple questions.



Ting-Chou (James) Lin

Ting-Chou (James) Lin is currently a second-year Ph.D. student in the Department of Computer Science and Engineering at UC San Diego. He was born and grew up in Taiwan. He received the B.S. degree in Electronics Engineering from National Chiao Tung University and the M.S. degree in Electronics Engineering from National Taiwan University under the supervision of Prof. Yao-Wen Chang. He worked as a software engineer at Cadence Design Systems, Taipei for one and a half years. He has published two conference papers at International Conference On Computer-Aided Design (ICCAD). Currently, he works with Prof. Chung-Kuan Cheng and focuses on a multi-objective cost-driven path-finding problem subjecting to complex constraints. He is one of the main developers of the open-source project OpenROAD. His current research interests are, including but not limited to, search and optimization, reinforcement learning, and design automation. As for future research directions, he would like to apply reinforcement learning for playing the game of design automation, where a simultaneous multi-objective optimization scheme and a sophisticated reward approximation function are needed.



Chung-Yueh (Jeremy) Lin

Chung-Yueh (Jeremy) Lin is a first-year Ph.D. student in the Neurosciences Graduate Program in UC San Diego School of Medicine. Jeremy was born and grew up in Taiwan, which was earlier called Formosa, meaning a beautiful island in Portuguese. He received his B.S at MIT, participated in International Chemistry Olympiad, performed cell biology research in the Harvey Lodish Lab at the Whitehead Institute about lipid metabolism in red blood cell development, and neuroscience research in Nobel laureate Susumu Tonegawa’s Lab at MIT about hippocampal circuit for social memories. From these experiences, Jeremy has developed broad interests ranging from molecular neurobiology to systems neuroscience, and has built a strong multi-disciplinary academic background required for advanced neuroscience research. Jeremy intends to devote himself to elucidating the mechanisms of the memory systems. He will focus on exploring two cutting-edge research topics in the rotations through the Neurosciences laboratories. The first potential project is to study the relationship between (epi)genomics and memory storage strategy in the hippocampus, and the second one is to study the functions of cortical-hippocampal circuits during memory formation by advanced techniques. Jeremy also took initiatives in several academic student organizations in neuroscience and computer sciences as he realized that the future neuroscience research will involve different skill sets. In the long run, he expects to take leadership roles in large-scale interdisciplinary research regarding learning and memory systems and neurodegenerative diseases.


lin2.JPGYun-An (Ann) Lin

Yun-An (Ann) Lin is a PhD student in the Department of Structural Engineering at UC San Diego. She grew up in Hsinchu, Taiwan and graduated from the National Chiao Tung University with a bachelor’s degree in Civil Engineering. She developed an interest in structural health monitoring through her participation in undergraduate research projects. Shortly after starting her graduate studies at UCSD, she joined the ARMOR (Active, Responsive, Multifunctional, and Ordered-materials Research) Lab to work with Prof. Ken Loh and soon found tremendous interests in designing next-generation thin film sensors for structural and human health monitoring applications. Her first research project sponsored by the U.S. Army Corps of Engineers, where she designed and characterized nanocomposite sensing skins for detecting and localizing damage in U.S. Army Corps structural assets. At the same time, she also worked on an Office of Naval Research project focusing on developing fabric-based pressure sensors for wounded warfighters and amputees, specifically, on mapping pressure distributions and hotspots in socket prostheses. This work was in collaboration with LIM Innovations, a socket prosthesis company based in San Francisco, CA and was where she interned during summer of 2019. Her PhD thesis research will build on her previous accomplishments, where she will design, test, and deploy wearable nanocomposite sensors for human motion and physiological monitoring. The long-term goal of her work is to develop and then leverage these wearable physiological sensors as a platform for integrating other future functionalities and that these technological advancements will find broad uses in healthcare, military, the entertainment industry, the arts, and consumer settings.


liu2.jpgWen-Chin (Brian) Liu

Wen-Chin (Brian) Liu was born in Hualien, Taiwan, R.O.C. He received the B.S. degree in electronic and computer engineering from National Taiwan University of Science and Technology, Taipei, Taiwan, in 2017; the M.S. degree in electrical engineering from National Taiwan University, Taipei, Taiwan, in 2019. He is currently working toward a Ph.D. degree in electrical and computer engineering at the University of California, San Diego, CA, USA.  His current research interests include high-frequency modeling, analysis, and constant-on time control strategies of dc-dc power converters for point-of-load applications, power management of integrated circuits, high-power-density isolated dc-dc resonant converter, high-power high-efficiency dc/dc and ac/dc and battery management system. All the researches aim to achieve better energy conversion with compact size enabling future life while saving energy waste.  In 2016 and 2017, Wen-Chin actively engaged in IEEE international future energy challenge competition, with 5th and 3rd place, respectively. Besides, he received the best thesis award from the EE department of National Taiwan University (NTU) in 2019, University of California San Diego (UCSD) graduate student fellowship in 2019.


wu2.jpgYueh-Hua (Kris) Wu

Yueh-Hua (Kris) Wu is currently a researcher at Academia Sinica, Taiwan. He will be joining the Computer Science and Engineering Department at UC San Diego as a Ph.D. student from Fall 2020. He has graduated from National Taiwan University with a bachelor’s and a master’s degree in Electrical Engineering and Computer Science, respectively. Yueh-Hua developed his research interest in Artificial Intelligence since college and his work has been accepted for presentation at international conferences such as International Conference on Machine Learning (ICML) and Association for the Advancement of Artificial Intelligence (AAAI).  Yueh-Hua is interested in solving empirical problems related to reinforcement learning and imitation learning, including sample inefficiency and imperfect demonstrations. His work, Imitation Learning from Imperfect Demonstration, was done when he interned at RIKEN Advanced Intelligence Project (AIP), Japan, under the supervision of Prof. Masashi Sugiyama. Yueh-Hua worked on low-cost inverse reinforcement learning, which enables reinforcement learning approaches to directly learn the preference of the designers from demonstrations without additional labeling effort.